Artificial Intelligence Technologies: Realities, Problems and Prospects

Purpose: The article explores the main problems associated with the development and implementation of artificial intelligence technologies in human activity. Such an analysis allows substantiating the main levers of the state policy aimed at the development and comprehensive application of digital intelligent systems. Design/methodology/approach: The authors use content analysis, systemic, adaptive, and synergistic methods. In addition, the authors apply modern statistics, empirical generalization, and grouping. The object of the research is the use of artificial intelligence systems in various fields of human activity. Conclusions: The success of the introduction and dissemination of artificial intelligence technology largely depends on the effectiveness of state regulation of this sphere, both at the state and supranational levels. Originality/value: In a broad sense, artificial intelligence is a set of algorithms and software systems that can solve some problems in the way a person would do and are distinguished by the fact that they can be trained. The development of machine learning systems must include an ethical aspect and some restrictions, otherwise the rapid development of intelligent machines can lead to the collapse of civilization. To avoid such a development of events, it is necessary to create a supranational system for regulating artificial intelligence.